haze

ridgelet 变换源代码,图象处理方面有广泛应用空间- MATLAB source code that implements the finite ridgelet transform in the paper "The finite ridgelet transform for image representation". (Ridgelet transform source code, image processing has wide application space- MATLAB source code that implements the finite ridgelet transform in the paper )

说明：  里面有33个在中国知网和其他学习网收集的论文，里面都是语音端点检测的学术论文，对于要进行语音处理的人有很高的价值。(paper from cnhk,about speech endpoint detection. have a high value)

完整msk的调制解调信道误码率仿真MATLAB程序 是个文本的 解压后可以直接用(Complete msk modulation and demodulation bit error rate simulation MATLAB program)

good code for ga algorithm process

LMS测相算法仿真（直线阵），通过算法产生阵列流型矩阵并进行相关分析,加噪(LMS algorithm simulation test phase (linear array), generated by an algorithm array manifold matrix and correlation analysis, noise)

MATLAB频谱分析实例~~~希望对大家有用(wave)

MIMO ML detection Rayleigh channel 採用16QAM(MIMO ML detection Rayleigh channel using 16QAM)

8FSK系统，波形生成，相干解调，非相干解调等(8FSK systems, waveform generation, coherent detection, non-coherent demodulation, etc.)

GNSS软件接收机，源自《软件定义的GPS和伽利略接收机》书中配套程序，做过修改，在原有程序框架下使用了2阶锁频环辅助3阶锁相环(The GNSS software receiver, derived from GPS and Galileo receiver of software defined supporting program in the book, modification, the original application framework use 2 order frequency locked loop aided third-order phase-locked loop )

Description We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of: - linear regression model - nonlinear regression model - fitting data in 3D space - identification of dynamical system This toolbox requires another two functions, which are already published in Matlab Central File Exchange. Those functions will be installed to computer via supporting install package requireFEXpackage included in TLS package. For more details see ReadMe.txt file. Authors: Ivo Petras, Dagmar Bednarova, Tomas Skovranek, and Igor Podlubny (Technical University of Kosice, Slovakia) Detailed description of the functions, examples and demos can be found at the link: Ivo Petras and Dagmar Bednarova: Total Least Squares Approach to Modeling: A Matlab Toolbox, Acta Montanistica Slovaca, vol. 15, no. 2, 2010, pp. 158-170.