threshold coding 中文意思是什麼
threshold coding
解釋
閾值編碼-
The fifth chapter use huffman coding method of the row difference data and lifting wavelet transform and spiht ( set partitioning in hierarchical tree ) coding method to realize the diagnostically compression of mfl data by judging the significance of data using changing threshold and dynamic area threshold of mfl data
在第五章通過數據變化閾值和數據動態范圍閾值判斷數據重要性，分別採用行差分數據的霍夫曼編碼方法以及提升小波變換和層次樹集分割（ spiht ）編碼方法實現了數據的檢測無損壓縮。 -
One is to use fourier transformation to convert the source signal from time domain to frequency domain and to discard high frequency harmonious components upwards of 19 ( gb / t14953 - 93 d5. 3 demanding ), then to have static huffman coding to the quantized char array which is composed of reserved direct current component and basic wave and each high frequency " s amplitudes and angles. the other is to use discrete wavelet transformation to convert the source signal from time domain to frequency domain and to set the high frequency coefficients that its absolute value is smaller than the given threshold to zero, then to have dynamic huffman coding to the quantized char array which is composed of multiple, wavelet ' s level, datum length, low frequency coefficients and reserved high frequency coefficients. mass simulinks and analyses under the two circumstances have done to show that data compression ratio is small and the relative error is also small and within the permission of engineering and the compression problem can be solved in theory of measured datum of power system
第一種情況的壓縮方法為：採用傳統的傅立葉變換把原始信號從時間域變換到頻率域，舍棄20次及其以上的高次諧波成分（保證了gb / t14953 ? 93d5 . 3要求） ，然後對保留的直流分量、基波和各次諧波的幅值和相角數據量化后和量化時分別乘以的倍數系數構成一個數組，以字元形式保存，採用靜態huffman編碼對變換數據進行壓縮；採用離散小波變換把原始信號從時間域變換到頻率域，然後對分解得到的高頻系數進行閾值量化處理，對乘以的倍數系數、小波變換的階數、小波變換后的低頻、各級高頻以及原始數據長度、量化后的低頻系數以及保留的高頻系數大小、位置構成一個數組，以字元形式保存，採用動態huffman編碼對這個文件進行壓縮。 -
However, most of the current wireless networks still work in low bandwidths, and mobile devices still suffer from weak computational power, short battery lifetime and limited display capability. therefore, this thesis deals with developing a very low bit - rate bi - level video coding technique, which can be used in video communications almost anywhere, anytime on any device as follows : ( 1 ) convert true color video sequences from ccd and video card to grayscale ones, ( 2 ) detect static region of successive frames by the sum of absolute differences ( sad ) and update current frame using static region of previous frame, to decrease flicker. ( 3 ) threshold the images to bi - level video sequences using ridler ' s iterative selection
為此，本論文在傳統h . 26x和mpeg - x等視頻編解碼技術的基礎上提出了一種新的基於輪廓的視頻編解碼方案，步驟如下： （ 1 ）先把從ccd攝像頭捕捉到的視頻幀序列轉換成灰度幀序列， （ 2 ）在灰度幀序列的基礎上通過sad演算法找出相鄰幀的靜態區域，用前一幀的靜態區域更新當前幀的相應區域，這樣可以降低畫面閃爍， （ 3 ）然後用灰度直方圖迭代所產生的閾值二值化圖像，生成基於輪廓的視頻幀序列， （ 4 ）最後運用基於上下文的算術編碼技術對由第三步生成的二值化視頻幀序列進行算術編碼。 -
The method includes split originality image region, filter, separately coding the lowest frequency sub - band coefficient, adaptively setting threshold of different image region, setting up flag matrix, and filtering after decoding to eliminate domino effect of split
這種編碼方法主要包括：對原始圖像進行分塊、濾波；對最低頻子帶系數單獨編碼；對各塊圖像自適應地進行閾值設置；設立標志矩陣；解碼后進行濾波消除分塊效應。 -
Throughputs of adaptive modu - lation, adaptive coding, and joint adaptation schemes are analyzed, and optimal switch - ing threshold of snr is obtained. in comparison with non - adaptive harq, adaptive schemes can get much higher throughput in the given cell. among the three adaptive schemes, adaptive modulation is t
分析了自適應調制、自適應編碼和聯合自適應方案在小區中的流量特性，得到了最優的切換門限，比較了自適應與非自適應harq的流量，以及三種自適應方案的優劣，其中自適應harq流量特性明顯好於非自適應harq 。 -
Fractal image compression coding ( ficc ) is a new image coding method developed in recent years and has been studied extensively. based on the analyze of conventional fractal coding and decoding, a fractal image coding algorithm based on changeable threshold and creative function is proposed in this paper. new algorithm is to be in accordance with the feature of human visual system
本文通過對傳統分形圖像壓縮編解碼的分析，提出了門限變化和生成函數改進的編碼演算法，此演算法在一定程度上與人類視覺系統特性相符，我們在理論上證明了在相同的條件下，用改進的生成函數恢復的圖像在質量方面比傳統的生成函數要好，恢復圖像的信噪比有所提高。 -
Channel coding is an important component in digital tv and determines dtv system ' s error correction performance and signal - to - noise rate ( snr ) threshold to a great extent. so it plays an indispensable role in settling the overall performance of a dtv system
通道編碼在數字電視中是非常關鍵的部分，它很大程度上決定了數字電視系統的糾錯性能及信噪比門限，從而對數字電視系統整體性能的好壞起到舉足輕重的作用。 -
Coding based upon image threshold segmentation related with coordinates, using windows crossover method, designing evaluation function based upon the equations given in literature [ 23 ], gas gets much better results than traditional algorithm
本文以基於坐標的閾值分割方法為基礎進行二維整數編碼，採用窗口交叉方法，以文獻[ 23 ]給出的評價方法構造適應度函數。
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