边缘检测

1）选择一个语音信号作为分析对象，或录制一段语音信号； 2）对语音信号进行采样，画出采样前后语音信号的时域波形和频谱图； 3）利用MATLAB中的随机函数产生噪声加入到语音信号中，使语音信号被污染，然后进行频谱分析； 4）设计用于处理该语音信号的数字滤波器，给出滤波器的性能指标，画出滤波器的频率响应； 5）对被噪声污染的语音信号进行滤波，画出滤波前后信号的时域波形和频谱，并对滤波前后的信号进行比较和分析； 6）回放各步骤的语音信号，给出相应处理程序及运行结果分析。(1) Select a voice signal as an analysis object, or record a voice signal 2) sampling the voice signal, draw the waveform and frequency spectrum of the time domain before and after sampling the speech signal 3) using the random function in MATLAB generated noise was added to the speech signal, the speech signal to be contaminated, and then spectrum analysis 4) for processing the speech signal, the digital filter design, given the performance of the filter to draw the filter' s frequency response 5) on the noise pollution of the speech signal is filtered, time-domain waveform and spectrum draw before and after filtering the signal before and after filtering, and the signal for comparison and analysis 6) playback of the speech signal for each step, given the results of the corresponding processing procedures and run analysis.)

Blessing_3_v3_9_6稳定盈利set，仅限AUDNZD货币对，周期M1。 使用本压缩包内的SET，LAF默认是15，根据历史测试来看具有较大的风险，需要手动规避数据。 合理设置为LAF=8，请自行设置和调试，找到自己合适的风险值。 (Blessing_3_v3_9_6 stable profit set, only AUDNZD currency pairs, cycle M1. Use this package in the SET, the default is 15 fans, according to the angles of history test has great risk, need to avoid data manually. Reasonable set to fans = 8, please make your own setting and debugging, find their proper risk value.)

基于stm32开发平台的，模拟ad采样程序设计，可直接下载使用(stm32 zhijiexiazaishiyong)

一个利用nios配置好ov7670和lcd以后，然后在用verilog读取ov7670里的数据直接送到tft上显示，

快速实现HDB3码与普通码二进制码的转换，方便学习与了解HDB3码的转换(Quickly achieve HDB3 code and common code binary code conversion, facilitate learning and understanding HDB3 code conversion)

能够在EDA环境下实现四位十进制数字密码锁的设置与开锁功能，并能更改使用密码，还可以防止抖动(EDA environment to achieve four decimal code lock and unlock function of the settings and change the use of passwords, but also to prevent the jitter)

小波包分解，重构轴承振动信号，Hilbert包络，FFT进行频谱分析，以获得轴承故障频率。(Wavelet packet decomposition, reconstruction of bearing vibration signal, Hilbert envelope, FFT spectrum analysis to obtain the bearing fault frequencies.)

摘要：

数字信号处理的FPGA实现, 包括了FPGA基础知识，浮点运算，信号处理的FIR FFT等，附录包含源代码(Digital signal processing FPGA implementation, including the basic knowledge of FPGA, floating point operations, signal processing FIR, FFT, etc., the appendix contains the source code)

relative cpu design implementation