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multiple signal classification

Robot Pencari Arah Kedatangan Suara Menggunakan Algoritma MUSIC (Multiple Signal Classification).

Robot Pencari Arah Kedatangan Suara Menggunakan Algoritma MUSIC (Multiple Signal Classification).

... (Multiple Signal Classification) algorithm to analyze and find the direction of arrival of sound, and difference between two sensors algorithm to find the location of the ...

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Estimasi Lokasi Sumber Jamak Dalam Medan Dekat Menggunakan 3-D Multiple Signal Classification (Music).

Estimasi Lokasi Sumber Jamak Dalam Medan Dekat Menggunakan 3-D Multiple Signal Classification (Music).

... Sinyal keluaran dari sensor array dapat digunakan untuk mengetahui lokasi (sudut azimuth, sudut elevasi, dan jarak) sumber jamak dalam medan dekat. Algoritma Multiple Signal Classification (MUSIC) ...

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TUGAS AKHIR - Multiple signal classification - USD Repository

TUGAS AKHIR - Multiple signal classification - USD Repository

... Jika proses acak yang akan di evaluasi terbatas pada interval tertentu, maka autokorelasi dari keluarannyanya juga harus diestimasi, dan parameter yang ditentukan berdasarkan estémasi au[r] ...

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EMG Classification Based On Features Reduction Using Fuzzy C-Means Clustering Technique.

EMG Classification Based On Features Reduction Using Fuzzy C-Means Clustering Technique.

... The noises that exist while performing the experiment the raw EMG signal Electromyography can be divided into two types which are ambient noise and transducer noise. The ambient noise is the noise that produces ...

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The Fusion of HRV and EMG Signals for Automatic Gender Recognition During Stepping Exercise

The Fusion of HRV and EMG Signals for Automatic Gender Recognition During Stepping Exercise

... the classification process may adversely affect if some of redundant irrelevant features of the features extracted are not appropriately eliminating [20, ...the classification is either improved or stay ...

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Development Of A Mind Game Using Electroencephalogram (EEG).

Development Of A Mind Game Using Electroencephalogram (EEG).

... Electroencephalogram (EEG) based technology are becoming more popular in games design and development as new EEG equipment with portability, stylish wearable and easier usages are available in the market. Such ...

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Biomedical Signal Generator.

Biomedical Signal Generator.

... Biomedical signal is or biopotential is an electric quantity (voltage or current or field strength), caused by chemical reactions of charged ...in signal transduction. Example for biomedical signal ...

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Power Quality Analysis Using Bilinear Time-Frequency Distributions.

Power Quality Analysis Using Bilinear Time-Frequency Distributions.

... 6.2. Performance Comparison of Smooth-Windowed Wigner- Ville Distribution. The performance of SWWVD with vari- ous kernel parameters for power quality signals is shown in Table 3. In this table, the kernel parameters are ...

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Directory UMM :Journals:Journal_of_mathematics:EJQTDE:

Directory UMM :Journals:Journal_of_mathematics:EJQTDE:

... Singular, Four-point boundary value problem, Multiple positive solutions, p-Laplacian, Leray-Schauder degree, Fixed point theorem 2000 Mathematics Subject Classification.. 34B10, 34B16[r] ...

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Vowel Recognition using Discrete Tchebichef Transform.

Vowel Recognition using Discrete Tchebichef Transform.

... Speech signal windowed Speech signal on frame 10.[r] ...

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LIP Unit IV.ppt

LIP Unit IV.ppt

... Signal Handling • Use the signal handling library: signal.h • Then can use the signal call: #include void *signal int sig, void *handlerint int ; • signal returns a pointer to th[r] ...

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IMPLEMENTASI METODE SINGULAR VALUE DECOMPOTITION UNTUK WATERMARKING PADA CITRA DIGITAL.

IMPLEMENTASI METODE SINGULAR VALUE DECOMPOTITION UNTUK WATERMARKING PADA CITRA DIGITAL.

... one signal (a digital watermark) is embedded within another signal (host image) signal to form a third signal (watermarked image) ...host signal and watermarked signal and ...

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isprsarchives XXXIX B7 173 2012

isprsarchives XXXIX B7 173 2012

... for classification (Tso and Mather 2009, Bruzzone et ...higher classification accuracy than the traditional parametric ...The classification were run using the Matlab 2010b ANN ...

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Analisa Kinerja Multiple Input Multiple

Analisa Kinerja Multiple Input Multiple

... sistem Multiple Input dan Multiple Output (MIMO) dengan parameter yang digunakan untuk mengukur kinerja akan ketahanan terhadap noise adalah Signal to Noise Ratio (SNR) dan Bit Error Rate ...

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Learning Apache Mahout Classification by Ashish Gupta

Learning Apache Mahout Classification by Ashish Gupta

... Clustering: This is a technique that tries to group items together based on some sort of similarity. Here, we find the different clusters of items based on certain properties, and we do not know the name of the cluster ...

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Duk peningkatan signal RAPI

Duk peningkatan signal RAPI

... 52 Kuta Alam Banda Aceh 23121 PENGUMUMAN PEMENANG PENGADAAN BARANG/JASA Dukungan Peningkatan Kualitas Signal Fasilitas Radio Komunikasi Radio Antar Penduduk Indonesia RAPI Aceh maka P[r] ...

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isprs annals III 2 15 2016

isprs annals III 2 15 2016

... automatic classification of land- forms is to provide a conceptual description of these landforms for their instantiation on the ...in multiple ways according to the user’s understanding and the type of ...

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