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用与生成ISE的IP核的COE文件,一些具体的参数要自己设置一下!
Update : 2024-04-30 Size : 1024 Publisher : 1111

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算法研究,用于研究文件的打开,关闭,生成。由hex文件生成coe文件-Algorithm for the study of documents opened, closed, generated. Hex file generated by the coe file
Update : 2024-04-30 Size : 1024 Publisher : 王艳辉

DL : 0
Develop computer programs for simplifying sums that involve binomial coe±cients-Develop computer programs for simplifying sumsthat involve binomial coe ± cients
Update : 2024-04-30 Size : 1049600 Publisher : xhusan

这是一个非常简单的遗传算法源代码,是由Denis Cormier (North Carolina State University)开发的,Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少,实际上也不必查错。对一特定的应用修正此代码,用户只需改变常数的定义并且定义“评价函数”即可。注意代码的设计是求最大值,其中的目标函数只能取正值;且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交和均匀变异。如果用Gaussian变异替换均匀变异,可能得到更好的效果。代码没有任何图形,甚至也没有屏幕输出,主要是保证在平台之间的高可移植性。读者可以从ftp.uncc.edu,目录 coe/evol中的文件prog.c中获得。要求输入的文件应该命名为‘gadata.txt’;系统产生的输出文件为‘galog.txt’。输入的文件由几行组成:数目对应于变量数。且每一行提供次序——对应于变量的上下界。如第一行为第一个变量提供上下界,第二行为第二个变量提供上下界,等等。 -This is a very simple genetic algorithm source code, by Denis Cormier (North Carolina State University) developed, Sita S. Raghavan (University of North Carolina at Charlotte) as amended. Code to ensure that as little as possible, in fact, do not have errors. The application of a specific amendment to this code, the user can change the definition of constants and the definition of "evaluation function" can be. Note the code is designed for maximum value, in which the objective function can only take positive and function to adapt to individual values and there was no difference between values. The system uses the ratio of choice, the best model, a single point of hybridization and uniform mutation. If the variation of the replacement of uniform Gaussian mutation may be more effective. Code without any graphics, or even no screen output, mainly to ensure a high portability between platforms. Readers can ftp.uncc.edu, directory coe/evol documents obtained prog.c. Asked to enter the fi
Update : 2024-04-30 Size : 4096 Publisher : Kaavield

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压缩传感是一个从2006年左右开始兴起的研究领域,它关注于如何采样信号,也就是信号的采样方式或者压缩方式。通过设计一种特殊的采样方案,可以使得采样频率降低为信号的“信息率”,而不是传统的奈奎斯特采样率,于是,实际的采样率可以大大低于奈奎斯特频率,却只损失很少的信息量,依然保持了充足的信息量足以恢复出采样前的原始信号。这个研究思想挑战了奈奎斯特频率的理论极限,会对整个信号处理领域产生极其深远的影响,同时,信号处理的许多应用领域也会随之发生根本性的发展和变化。 -Compressive sensing (CS) is an emerging fi eld based on the revelation that a small collection of linear projections of a sparse signal contains enough information for sta- ble, sub-Nyquist signal acquisition. When a statistical characterization of the signal is available, Bayesian inference can complement conventional CS methods based on linear programming or greedy algorithms. We perform approximate Bayesian infer- ence using belief propagation (BP) decoding, which represents the CS encoding matrix as a graphical model. Fast encoding and decoding is provided using sparse encoding matrices, which also improve BP convergence by reducing the presence of loops in the graph. To decode a length-N signal containing K large coeffi cients, our CS-BP decoding algorithm uses O(K log(N)) measurements and O(N log2 (N)) computation. Finally, sparse encoding matrices and the CS-BP decoding algorithm can be modifi ed to support a variety of signal models and measurement noi
Update : 2024-04-30 Size : 239616 Publisher : romman

这是我在Xilinx公司的FPGA上实现的FIR滤波器,调用的内部核,其特色是可以用较少的资源实现该功能,而且可以实现参数重载,即从外部MCU设置FIR滤波器的参数-This is my Xilinx FPGA to achieve the FIR filter, called internal audit, its characteristics can be achieved with fewer resources to this function, and the overload parameters can be achieved, that is, from an external MCU to set the parameters of FIR Filter
Update : 2024-04-30 Size : 16727040 Publisher : 林寒风

DL : 0
coe for LPT analyzer and controller
Update : 2024-04-30 Size : 31744 Publisher : kamran

DL : 0
这是一个非常简单的遗传算法源代码,是由Denis Cormier (North Carolina State University)开发的,Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少,实际上也不必查错。对一特定的应用修正此代码,用户只需改变常数的定义并且定义“评价函数”即可。注意代码的设计是求最大值,其中的目标函数只能取正值;且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交和均匀变异。如果用Gaussian变异替换均匀变异,可能得到更好的效果。代码没有任何图形,甚至也没有屏幕输出,主要是保证在平台之间的高可移植性。读者可以从ftp.uncc.edu,目录 coe/evol中的文件prog.c中获得。要求输入的文件应该命名为‘gadata.txt’;系统产生的输出文件为‘galog.txt’。输入的文件由几行组成:数目对应于变量数。且每一行提供次序——对应于变量的上下界。如第一行为第一个变量提供上下界,第二行为第二个变量提供上下界,等等。-This is a very simple genetic algorithm source code is determined by Denis Cormier (North Carolina State University) developed, Sita S. Raghavan (University of North Carolina at Charlotte) amendment. Code to ensure as little as possible, in fact there is no need troubleshooting. The application of a specific amendment to this code, the user simply by changing the definition of constants, and the definition of "evaluation function" can be. Note that the code is designed to seek maximum value, where the objective function can only take on positive values and the function values and individuals there is no difference between the values of adaptation. The system uses the ratio option, essence model, a single point of hybridization, and uniform mutation. If we replace the uniform Gaussian mutation variation, may get better results. Code without any graphics, or even no screen output, mainly to ensure a high portability between platforms. Readers can ftp.uncc.edu, directory coe/evol file pr
Update : 2024-04-30 Size : 4096 Publisher : 陈朋

DL : 0
这是一个非常简单的遗传算法源代码,是由Denis Cormier (North Carolina State University)开发的,Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少,实际上也不必查错。对一特定的应用修正此代码,用户只需改变常数的定义并且定义“评价函数”即可。注意代码的设计是求最大值,其中的目标函数只能取正值;且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交和均匀变异。如果用Gaussian变异替换均匀变异,可能得到更好的效果。代码没有任何图形,甚至也没有屏幕输出,主要是保证在平台之间的高可移植性。读者可以从ftp.uncc.edu,目录 coe/evol中的文件prog.c中获得。要求输入的文件应该命名为‘gadata.txt’;系统产生的输出文件为‘galog.txt’。输入的文件由几行组成:数目对应于变量数。且每一行提供次序——对应于变量的上下界。如第一行为第一个变量提供上下界,第二行为第二个变量提供上下界,等等。-This is a very simple genetic algorithm source code is determined by Denis Cormier (North Carolina State University) developed, Sita S. Raghavan (University of North Carolina at Charlotte) amendment. Code to ensure as little as possible, in fact there is no need troubleshooting. The application of a specific amendment to this code, the user simply by changing the definition of constants, and the definition of "evaluation function" can be. Note that the code is designed to seek maximum value, where the objective function can only take on positive values and the function values and individuals there is no difference between the values of adaptation. The system uses the ratio option, essence model, a single point of hybridization, and uniform mutation. If we replace the uniform Gaussian mutation variation, may get better results. Code without any graphics, or even no screen output, mainly to ensure a high portability between platforms. Readers can ftp.uncc.edu, directory coe/evol file pr
Update : 2024-04-30 Size : 4096 Publisher : 陈朋

这是一个非常简单的遗传算法源代码,是由Denis Cormier (North Carolina State University)开发的,Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少,实际上也不必查错。对一特定的应用修正此代码,用户只需改变常数的定义并且定义“评价函数”即可。注意代码 的设计是求最大值,其中的目标函数只能取正值;且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交和均匀变异。如果用 Gaussian变异替换均匀变异,可能得到更好的效果。代码没有任何图形,甚至也没有屏幕输出,主要是保证在平台之间的高可移植性。读者可以从ftp.uncc.edu, 目录 coe/evol中的文件prog.c中获得。要求输入的文件应该命名为‘gadata.txt’;系统产生的输出文件为‘galog.txt’。输入的 文件由几行组成:数目对应于变量数。且每一行提供次序——对应于变量的上下界。如第一行为第一个变量提供上下界,第二行为第二个变量提供上下界,等等。 -It is a very simple genetic algorithm source code, is Denis Cormier (North Carolina State University) developed, Sita S. Raghavan (University of North Carolina at Charlotte) amendment. Code to ensure as little as possible, in fact, do not have to troubleshooting. The application of a specific amendment to this code, the user simply changes the definition of constants and the definition of "evaluation function" can be. Note that the code is designed to seek maximum value, in which the objective function can only take positive and the function value and the individual is no difference between the fitness value. The system uses the rate selection, the essence of model, single-point crossover and uniform mutation. If you replace the uniform mutation with Gaussian mutation, may be more effective. Code without any graphic or even no screen output, mainly to ensure a high portability between platforms. Readers can ftp.uncc.edu, directory coe/evol file prog.c obtained. Required input file sho
Update : 2024-04-30 Size : 8192 Publisher : 李礼

DL : 0
这是一个非常简单的遗传算法源代码,是由Denis Cormier (North Carolina State University)开发的,Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少,实际上也不必查错。对一特定的应用修正此代码,用户只需改变常数的定义并且定义“评价函数”即可。注意代码 的设计是求最大值,其中的目标函数只能取正值;且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交和均匀变异。如果用 Gaussian变异替换均匀变异,可能得到更好的效果。代码没有任何图形,甚至也没有屏幕输出,主要是保证在平台之间的高可移植性。读者可以从ftp.uncc.edu, 目录 coe/evol中的文件prog.c中获得。要求输入的文件应该命名为‘gadata.txt’;系统产生的输出文件为‘galog.txt’。输入的 文件由几行组成:数目对应于变量数。且每一行提供次序——对应于变量的上下界。如第一行为第一个变量提供上下界,第二行为第二个变量提供上下界,等等。 -This is a very simple genetic algorithm is Denis Cormier source of Carolina re (State) development, Sita leads S.R aghavan (of Carolina at leads, where re. Code that is actually less as far as possible, don t find fault. For a particular application of this code, the user need revision of the constant change and define "evaluation function definition of". Note the design code for maximum, which is the objective function can take positive, And the function of the individual value and no difference between fitness. This system USES ratio, essence model, single hybridization and uniform variation. If use uniform variation and variation of Gaussian replacement may get better effect. Code without any graphics, nor even screen output, mainly is the guarantee of the platform between high portability. Readers can from the FTP uncc. J, directory coe/evol edu files in prog. C. The documents required input should be named "j" rather gadata System to produce output file for galog. J TXT Input f
Update : 2024-04-30 Size : 8192 Publisher : hua gong

无线通信调制解调用的verlog和matlab程序,很大很实用。-Wireless modem calls verlog and matlab program, very very practical.
Update : 2024-04-30 Size : 536576 Publisher : 吴雷

产生PFGA需要的COE文件,正弦载波的码表生成方法,很简单。-COE file generated PFGA needed, sinusoidal carrier code table generation method, is simple.
Update : 2024-04-30 Size : 20480 Publisher : 寒懿轩

expample of picoBlazeIDE assembly of producing coe file for fpga
Update : 2024-04-30 Size : 1024 Publisher : Geff

DL : 0
Often we are interested to see how the adaptation of the coeffi cients works or how the error behaves over time. Therefore we need the function [y,e,c]=lms2(x,d,N,mu) which provides us more output arguments
Update : 2024-04-30 Size : 181248 Publisher : thi

DL : 0
this code is used to find unknown coe-this code is used to find unknown coeff
Update : 2024-04-30 Size : 1024 Publisher : university

DL : 0
掌握FPGA可编程门阵列的基本方法 2).掌握Xilinx ISE 9.0的基本使用方法以及在ise的环境下导入51核及其配置方法 3).学会将keil编译成功个hex文件变为coe文件,导入例化的rom 4).学习设计核的关键与方法 -Programmable Gate Array FPGA to master the basic method 2). Xilinx ISE 9.0 to grasp the basic use and the environment in the ise 51 nuclear import and configuration 3). Keil compiler will successfully learn a hex file into coe file, import the cases of the rom 4). The key learning design and methods of nuclear
Update : 2024-04-30 Size : 399360 Publisher : liujia

this code is written to convert the decimal number to hexadecimal number in sixteen bit format. the decimal numbers are stored in a text file and after conversion to the hexadecimal format data are stored in a seperate file data that is written will be in the coe file format.function fscanf is used to read the txt file and function fprintf is used to to write a file in a particular location .function dectohex is used for decimal to hexadecimal conversion.
Update : 2024-04-30 Size : 1024 Publisher : ashutosh kumar

这个主要是用VHDL语言来实现从xilinxFPGA中的RBOM中读取一幅图像,并通过VGA口显示出来,同时还有加密的功能,按不同的按键可以实现图像颜色转换。-The VHDL language is mainly used in the RBOM from a xilinxFPGA to read an image, and displayed through the VGA port, as well as the function of encryption, the keys can be achieved by different image color conversion.
Update : 2024-04-30 Size : 1768448 Publisher : 张元甲

AI-NN-PRga
DL : 0
这是一个非常简单的遗传算法源代码,是由Denis Cormier (North Carolina State University)开发的,Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少,实际上也不必查错。对一特定的应用修正此代码,用户只需改变常数的定义并且定义“评价函数”即可。注意代码 的设计是求最大值,其中的目标函数只能取正值;且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交和均匀变异。如果用 Gaussian变异替换均匀变异,可能得到更好的效果。代码没有任何图形,甚至也没有屏幕输出,主要是保证在平台之间的高可移植性。读者可以从ftp.uncc.edu, 目录 coe/evol中的文件prog.c中获得。要求输入的文件应该命名为‘gadata.txt’;系统产生的输出文件为‘galog.txt’。输入的 文件由几行组成:数目对应于变量数。且每一行提供次序——对应于变量的上下界。如第一行为第一个变量提供上下界,第二行为第二个变量提供上下界,等等。-This is a very simple genetic algorithm source code, by Denis Cormier (North Carolina State University) developed, Sita S. Raghavan (University of North Carolina at Charlotte) amendment.
Update : 2024-04-30 Size : 3072 Publisher : Sha zj
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