... types including ASK, PSK, MSK, FSK, and QAM Table shows the parameters used for simulations Testing signals of 100 symbols are used as input messages for different values of SNR and channel effects ... into consideration the scatter between-classes besides the scatter within-classes, that is, finds a linear transform so that the between-classes variance is maximized, and the within-classes variance ... classes (modulation schemes), pc is the prior of class c ∈ C, xc is a data point of class c, μc is the mean of class c and μ represents the mean of all classes LDA attempts to find the linear transformation...
... classification using seismic signal processing in unattended ground sensor systems,” in Proc IEEE Int Conf Acoustics, Speech, Signal Processing (ICASSP ’02), vol 4, p 4172, Orlando, Fla, USA, ... different scales [20] Another advantage of wavelettransform over Gabor filters is that the lowpass and highpass filters used in the wavelettransform remain the same between two consecutive scales while ... analysis [19] The above traditional statistical approaches to texture analysis, such as cooccurrence matrices, second-order statistics, GMRF, local linear transforms, and texture spectrum, are restricted...
... image transmission over networks, our method addresses the issue of security protection of confidential images for transmission, while MDC does not consider the security question but emphasizes on ... the lossless reconstruction using four of the six shadows shown in Figure 6(e) The result of the preprocessing stage is shown in Figure 6(c) The histograms of the original image and of the result ... images In comparison to the methods in [2, 4, 5], the proposed method has advantages of providing both progressive transmission and small shadow images simultaneously The security analysis result...
... applied, as in the case of speech/ nonspeech detection The two statistical classifiers used in speech/ nonspeech and voiced/unvoiced detections are based on Gaussian mixture models (GMM) [49] The speech/ nonspeech ... classification process The basic idea of LDA is to reduce the variances within the classes, whereas the variances between the classes should be as large as possible [54] The following steps describe ... phonemes, and can be misclassified as nonspeech segments These misclassifications can decrease the performance of the automatic speech recognition system To reduce the influence of possible fluctuations...
... hand, less-temporal decomposition stages can save memory and processing delay Based on these observations, we propose a new anisotropic wavelettransform for 3D DDWT The proposed anisotropic ... its neighbor in the lowpass direction, but have the opposite sign to its highpass neighbor (In a subband which is horizontally lowpass and vertically high-pass, the lowpass neighbors are those ... This process repeats until the desired number of coefficients is chosen Because only one coefficient is chosen in each iteration, the computation is very slow Our simulations (see Section 3.3) show...
... forming a new set of data DWT is one of popular tools used in MRA by using low-pass and high-pass filter [6, 7, 8] Consider is DWT performance, the analysis and synthesis is described via equation ... each step in the process, 50 new chromosomes is created by crossover, and then worst ones will be mutated; this can generate better chromosomes This process will be stopped when there is a new ... determined by using sum squared differences (SSD), equation 1, based on the pixel intensity [3] The most suitable value of d will give us to minimum value of function SSD in equation SSD = ∑ (I (x,...
... tests whether the proportion positive is significantly less than 0.5 We use a one-sided test 19 A referee suggests a simple explanation Since growth (value) funds invest in stocks whose prices ... US equity pension fund portfolios 15 B Representativeness Since our sample consists of portfolios being managed for clients of a single consulting firm, the question arises as to whether the sample ... results IV Empirical Results We first document the interim trading bias in returns-based measures and the performance using these measures for our sample of managers This provides a comparison...
... the wavelettransform shifts the focus of attention to different scales Wavelet applications encompass audio analysis, and compression of still images and video streams, as well as the analysis ... the discussion of practical considerations for the use of wavelets The topics assessed include the discussion of wavelet lter banks in multiple dimensions, different policies to handle signal ... physicist Grossmann proved that the discrete, and critically sampled wavelettransform was reversible, thus no error was introduced by transform and inverse transform, i.e., analysis and synthesis...
... the wavelettransform shifts the focus of attention to different scales Wavelet applications encompass audio analysis, and compression of still images and video streams, as well as the analysis ... the discussion of practical considerations for the use of wavelets The topics assessed include the discussion of wavelet lter banks in multiple dimensions, different policies to handle signal ... physicist Grossmann proved that the discrete, and critically sampled wavelettransform was reversible, thus no error was introduced by transform and inverse transform, i.e., analysis and synthesis...
... against class-action lawsuits10 for interfering with free speech by slowing access for customers using peer-to-peer technologies Mistakes can result in expensive lawsuits Several large companies ... Free Speech Does our business promote communications regardless of method, topic, or viewpoint? Speech can be restricted in many ways, such as by censoring politically sensitive messages or slowing ... ’ s G o o d f o r B u s i n e ss Privacy and Free Speech Mistakes Hurt Business When it comes to protecting your users’ privacy and free speech, mistakes can cost you not only money but also...
... the baseline system is distance-based, i.e it assigns costs based on the distance from the end position of a phrase to the start position of the next phrase More details about the baseline system ... Components Table 1: Statistics of the machine translation corpus In this section, we briefly describe the basic system components, namely the MT and the ASR systems Train: 3.1 Machine Translation System ... results of the ASR system are shown Afterwards, the results of combined speech recognition and translation models are presented For each translation model, the N -best lists are rescored based...
... echik s on golf clubs “We always have enjoyed commercial contacts with the Scots just across the North Sea, so it s not surprising we shared habits of ball games,” says Pieter Aalders, Kennemer s ... loudspeaker During the rounds, a team of officials is on hand to resolve any disputes and make sure the game s long list of rules is respected Standard bearers posting scores follow the leaders ... players in a closed club, he points out In contrast, Hamblin says his association s events are open to newcomers who have the results necessary to participate To many, this emphatic distinction seems...
... becomes 1E 2.2.2 Statistical model f o r discourse structure analysis We construct a statistical model for discourse structure analysis using DSBs In the training phase, the model transforms discourse ... For the discourse structure analysis, we suggest a statistical model with discourse segment boundaries (DSBs) similar to the idea of gaps suggested for a statistical parsing (Collins (1996)) ... a set of discourse segment boundaries (DSBs) as the markers for discourse structure tagging A DSB represents the relationship between two consecutive utterances in a dialogue Table shows DSBs...
... Haar transform was utilized by a NS lifting structure [7] The Walsh Hadamard transform was composed of a NS lossless transform [8], and applied to construct a lossless discrete cosine transform ... lossless coding and lossy coding in section Implementation issue under finite word length of signal values is also discussed Conclusions are summarized in section References are listed in section ... Near-Lossless and Lossy Adaptive Coding Based on the Lossless DCT" IEEE Proc International Symposium Circuits and Systems (ISCAS) [1], 781-784 [13] Iwahashi, M., & Kiya, H (2009) Non Separable...
... a baseline system, a simple heuristic method of selecting the distribution with the fewest possible tags was used Thus, if the prefix has a distribution over three possible tags, and the suffix ... This predictor is constructed based on the assumption that new words in a language are created using a well-defined morphological process We wish to use suffixes and prefixes to predict possible ... suffix has a distribution over five possible tags, the distribution from the prefix is used Ni total occurrences of the i-th affix The distribution with the smallest entropy is used, as this is the...
... are sets A with ν(A) = 0, whereas conull sets are complements of nullsets If µ and ν are measures on the same space, µ is ν-absolutely continuous if every ν-nullset is a µ-nullset as well We assume ... example is the discretization and sampling of continuous transforms The analogy to real Fourier analysis suggests to look for nonabelian versions of Shannon s sampling theorem, and the discussion ... arguments which are indispensable for a rigorous proof, but not necessarily for an understanding and assessment of results belonging to the core material Sections and subsections marked with a superscript...
... the input signal si was divided into two smaller subsets s i-1 and d’ i-1 , where d’ i-1 was also known as wavelet subset The simplest split was that si was divided into two groups according to ... be constructed to update s i-1, which was defined as follows: si−1 = si−1 + U(di−1 ), (3) where the obtained subset si-1 was smaller than the original signal set si, and the wavelet subset di-1 ... parity, then s i-1 was known as the even sequence and d’i-1 known as the odd sequence This split wavelet was called the Lazy Wavelet, which could be expressed as split (si ) = s i−1 , d i−1...
... the basis of its probability distribution It is possible to present it as a good measure of randomness and sparseness Entropy, as information measure of randomicity of random events, depends on ... Figure 14 shows denoising signals of a faultless gear It can be noted that no impulses exist in the signals, whereas Figure 15 shows results of filtering with optimized wavelet filter for signals of ... moment as this implies higher sensitivity to impulse signals [9] Thus, the third and fourth moments have some disadvantages, and to eliminate these disadvantages, a class of new diagnostic gear...