respondgai

语音信号处理代码，可插入水印，并进行还原处理(Speech Signal Processing Code)

neural network fault finding relay

1.The content is too simple 2.Is not a sourcecode or document

1、研究BFSK在加性高斯白噪声信道下（无突发干扰）的误码率性能与信噪比之间的关系； 2、研究BFSK在加性高斯白噪声信道下（有突发干扰）的误码率性能与信噪比之间的关系；分析突发干扰的持续时间对误码率性能的影响。 3、研究BFSK+信道编码（取BCH码和汉明码）在加性高斯白噪声信道下（无突发干扰）的误码率性能与信噪比之间的关系；分析不同码率对误码率性能的影响。比较不同信道编码方式的编码增益性能。 4、研究BFSK+信道编码（取BCH码和汉明码）在加性高斯白噪声信道下（有突发干扰）的误码率性能与信噪比之间的关系；分析突发干扰的持续时间对误码率性能的影响。分析不同码率对误码率性能的影响。比较不同信道编码方式的编码增益性能。 (The relationship between research BFSK in additive white Gaussian noise channel (non-burst interference) bit error rate performance and signal to noise ratio research BFSK in additive white Gaussian noise channel (burst interference The relationship between), bit error rate performance and signal to noise ratio analysis of the duration of the burst interference on the BER performance. The relationship between the 3 the study BFSK+ channel coding (take BCH code and Hamming code) under the additive white Gaussian noise channel (non-burst interference), bit error rate performance and signal to noise ratio analysis of the different rate of bit error rate the impact of the performance. Comparison of different channel coding, coding gain performance. The relationship between the 4 the study BFSK+ channel coding (take BCH code and Hamming code) under the additive white Gaussian noise channel (burst interference), bit error rate performance and signal to noise ratio duration analysis of bu)

遗传算法染色体的选着，交换和遗传。。。。。(Genetic algorithm)

sound recognition code matlab

输入一个您需要判断的数，然后通过程序判断数的大小类别(judge the number you input)

Matlab所有函数速查手册，方便查询，比较实用(The Matlab functions Quick Reference, easy access, more practical)

time-invariant degradation models and stationary signals and noise, the classical Fourier domain Wiener filter, which can be implemented in O(N logN) time, gives the minimum mean-square-error estimate of the original undistorted signal. For time-varying degradations and nonstationary processes, however, the optimal linear estimate requires O(N2) time for implementation. We consider filtering in fractional Fourier domains, which enables significant reduction of the error compared with ordinary Fourier domain filtering for certain types of degradation and noise (especially of chirped nature), while requiring only O(N logN) implementation time. Thus, improved performance is achieved at no additional cost. Expressions for the optimal filter functions in fractional domains are derived, and several illustrative examples are given in which significant reduction of the error (by a factor of 50) is obtained.

Contourlet变换中的隐马尔科夫树模型程序 Hidden Markov Tree model of Contourlet Transform 2008年11月14日 MATLAB2 (R2006a) 这是一个Matlab实现的隐马尔科夫树模型，用于计算图像的Contourlet系数。程序同时还包括图像去噪、纹理恢复的应用模型。(Contourlet transform the hidden Markov model procedures for Hidden Markov Tree model of Contourlet Transform 2008 年 11 月 14 日 MATLAB2 (R2006a) is a Matlab implementation of the Hidden Markov Tree Model, used to calculate the image Contourlet factor. Program also includes denoising, texture recovery application model.)