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关于神经网络算法的展示代码 有matlab与c#两种实现方式(Show on neural network algorithm matlab code has two implementations with c#)

模拟退火算法的matlab 程序，验证是正确的(Simulated annealing algorithm matlab program, verify that is correct)

超声阵列换能器的方正，合成孔径的波束形成程序(Ultrasonic transducer array synthetic aperture beamforming procedure)

Simple Kalman Filter 一个简单的C语言实现的卡曼滤波器。(Simple Kalman Filter with a simple C language implementation of the Kalman filter.)

说明：  用格拉布斯准则判断异常数据，通过检测输入数据剔除粗大误差( use Grubbs Criteria to determine outlier ， removing the gross error detection )

采用互补序列降低ＯＦＤＭ的ＰＡＲ方法，降至３ＤＢ(lower with complementary sequences OFDM PAR method to Lateral)

a usefull algorithm to smooth PERIODOGRAM of a selected signal.

求解矩阵的LU分解和逆，两种一般方法求解线性方程组的解。(LU matrix factorization and solving the inverse, two general methods for solving linear equations.)

ask信号的产生及其零均值归一化瞬时幅度，ask信号的产生及其零均值归一化瞬时幅度(ask signal generation and zero-mean normalized instantaneous amplitude, ask the signal generation and zero-mean normalized instantaneous amplitude)

tpdsola algorithm,Synthesized speech can be produced by several different methods. All of these have some benefits and deficiencies that are discussed in this and previous chapters. The methods are usually classified into three groups: Articulatory synthesis, which attempts to model the human speech production system directly. Formant synthesis, which models the pole frequencies of speech signal or transfer function of vocal tract based on source-filter-model. Concatenative synthesis, which uses different length prerecorded samples derived from natural speech. The formant and concatenative methods are the most commonly used in present synthesis systems. The formant synthesis was dominant for long time, but today the concatenative method is becoming more and more popular. The articulatory method is still too complicated for high quality implementations, but may arise as a potential method in the future.