PID

数字信号处理及其matlab实现，，希望对大家有帮助，谢谢，()

The digital wideband receiver is a critical component in modern digital receivers. The receiver has the capability to expose and distinguish adverse signals contained within a large bandwidth (on the order of 1 GHz or more) of the radio frequency (RF) spectrum. The spectral estimator is a highly important design element imperative to the detection of the hostile signals within the intended bandwidth in order to fulfill mission requirements. This crucial element of an FFT-based digital receiver presented several challenges in the development of this research. The task at hand was to minimize the total hardware consumption contributed to the complex arithmetic operations while maintaining a high single signal spurious-free dynamic range (SFDR) and multi-tone instantaneous dynamic range (IDR).

IMPLEMENTATION OF A ROBUST CONTROLLER

matlab环境下 LDPC码的编译码算法仿真(LDPC coding and decoding in MATLAB)

用matlab语言实现Goldsequence产生(using Matlab language have Goldsequence)

BFGS变尺度法，MATLAB实现，求解函数极值(BFGS variable metric algorithm implemented by MATLAB)

FEC decoding algorithm for Reed Solomon

说明：  某厂向用户提供发动机，合同规定，第一、二、三季度末分别交货40台、60台、80台．每季度的生产费用为 （元），其中x是该季生产的台数．若交货后有剩余，可用于下季度交货，但需支付存储费，每台每季度c元．已知工厂每季度最大生产能力为100台，第一季度开始时无存货，设a=50、b=0.2、c=4，问工厂应如何安排生产计划，才能既满足合同又使总费用最低．讨论a、b、c变化对计划的影响，并作出合理的解释(To provide users with a factory engine, contract, first, second and third quarter respectively, delivered at the end of 40, 60, 80. Quarterly cost of production (million), in which x is the quarter of the number of production. If the remaining after delivery, can be used for delivery next quarter, subject to payment of storage fees, for each element c of each quarter. The largest known plant production capacity of each quarter to 100, the beginning of the first quarter of stock, set up a = 50, b = 0.2, c = 4, asked how to arrange the production of the factory plans to meet the total cost of the contract makes the minimum . Discussion of a, b, c of the impact of change on the plan and make a reasonable explanation)

An Improved Smoothed

近邻类聚算法matlab实现，适合初学算法工程师，有效解决聚类问题(AP matlab)