Q3_1

matlab 将以综合了matlab的各种功能，有很大的用处！！(matlab matlab will combine the various functions is very useful! !)

Effi cient algorithms for signal processing are critical to very large scale future appli- cations such as video processing and four-dimensional medical imaging. Similarly, effi cient algorithms are important for embedded and power-limited applications since, by reducing the number of computations, power consumption can be reduced con- siderably. This unique textbook presents a broad range of computationally-effi cient algorithms, describes their structure and implementation, and compares their relative strengths. All the necessary background mathematics is presented, and theorems are rigorously proved. The book is suitable for researchers and practitioners in electrical engineering, applied mathematics, and computer science.

关于数字信号处理的matlab程序实现代码，有很多实用的方法，如功率谱估计的算法等等，对学习数字信号处理很有帮助(On digital signal processing matlab program implementation code, there are many practical ways, such as power spectrum estimation algorithms, etc., is helpful in learning digital signal processing)

Algorithm development starts in MATLAB, Lab-view, C and JAVA which uses complex floating point arithmetic. These algorithms get transfer to hardware implementation team. Then the hardware design teams implement this abstract algorithm on the specific hardware that meets the system level specifications

自编的龙格库塔算法，方便学习数值分析的同学自学本算法，没有调用MATLAB自带的库函数。(the algorithm of numerical analysis, not the library function call MATLAB)

This program generate pitch estimation fro signal.

增量式PID温度控制系统 在matlab下编程(Incremental PID temperature control system in MATLAB programming )

Amplutide Modulation Matlab code2

针对二维矩形条带装箱问题提出了一种启发式布局算法，即底部左齐择优匹配算法（lowest—level left align bestfit，简称LLABF）．LLABF算法遵循最佳匹配优先原则，该原则综合考虑完全匹配优先、宽度匹配优先、高度匹配优先、组合宽度匹配优先及可装入优先等启发式规则．与BL（bottom-left），IBL（improved-bottom-left）与BLF（bottom—left-fill）等启发算法不同的是，LLABF能够在矩形装入过程中自动选择与可装区域匹配的下一个待装矩形．计算结果表明，LLABF结合遗传算法（genetie algorithm,简称GA）解决二维条带装箱问题更加有效．(A heuristic placement algorithm for two-dimensional rectangular strip packing problem is proposed, which is called bottom-level left align best fit algorithm (LLABF). Different from BL (bottom-left), IBL (improved-bottom-left) and BLF (bottom-left-fill) heuristic algorithms, LLABF can automatically select the next rectangle to be loaded that matches the mountable region during the rectangular loading process. Genetie algorithm (GA) is more effective to solve the two-dimensional strip packing problem.)

说明：  MATLAB新手学习常见的两百个问题，非常实用。(MATLAB novice learning common 200 problems, very practical.)