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[单片机(51,AVR,MSP430等)] zhizhenyijing
说明:用于单片机指针液晶的源码,希望对大家有所帮助啊-The source code of the MCU based pointer LCD, and I hope to help it<万三> 在 2025-09-30 上传 | 大小:22kb | 下载:0
[matlab例程] Gauss-Jordan-Matrix
说明:For inverting a matrix, Gauss-Jordan elimination is about as efficient as any other method. For solving sets of linear equations, Gauss-Jordan elimination produces both the solution of the equations for one or more right-hand side vectors b, and also<Myoung-Jin> 在 2025-09-30 上传 | 大小:7kb | 下载:0
[VHDL编程] serialdivider-model
说明:this is serial divider model vhdl file and testbench not included<maddy> 在 2025-09-30 上传 | 大小:1kb | 下载:0
[其他小程序] Multi-Converter-FACTS-in-Power
说明:Multi-Converter FACTS in Power Flow Analysis<jv> 在 2025-09-30 上传 | 大小:598kb | 下载:0
[OpenGL] tetera.c
说明:This is an code in OpenGl with the Búffer-Z Algorithm<Aiku_Tantei> 在 2025-09-30 上传 | 大小:1kb | 下载:0
[数学计算/工程计算] LU-Decomposition
说明:Suppose we are able to write the matrix A as a product of two matrices, L.U = A, where L is lower triangular (has elements only on the diagonal and below) and U is upper triangular (has elements only on the diagonal and above). We can use a decomposi<Myoung-Jin> 在 2025-09-30 上传 | 大小:7kb | 下载:0
[数学计算/工程计算] SVD_Algorithm
说明:In many cases where Gaussian elimination and LU decomposition fail to give satisfactory results, this set of techniques, known as singular value decomposition, or SVD, will diagnose for you precisely what the problem is. In some cases, SVD will not o<Myoung-Jin> 在 2025-09-30 上传 | 大小:7kb | 下载:0
[数学计算/工程计算] Jacobi_Transformations_of_Symmetric
说明:The Jacobi method consists of a sequence of orthogonal similarity transformations of the form of equation. Each transformation (a Jacobi rotation) is just a plane rotation designed to annihilate one of the off-diagonal matrix elements.<Myoung-Jin> 在 2025-09-30 上传 | 大小:7kb | 下载:0
[Modem编程] HUAWEIEM310GSMdescription
说明:HUAWEI EM310 GSM 模块 产品描述-(V100R001B01_01,Chinese)1109.pdf<zj> 在 2025-09-30 上传 | 大小:2.09mb | 下载:0
[数学计算/工程计算] Convolution-Deconvolution_Using_FFT
说明:The theorem says that the Fourier transform of the convolution of two functions is equal to the product of their individual Fourier transforms. This deal with the discrete case.<Myoung-Jin> 在 2025-09-30 上传 | 大小:6kb | 下载:0