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In the above expression, we note that computing the matrix product (mathbb {T}^{T}(mathbf {y}_{C} - mathbf {x})) is actually equivalent to constructing a suspect LUT from the sequence of watermark estimates as explained in [8, Sec. IV.B] and does not require an actual matrix multiplication.
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After scrambling the binary watermark, a block-based DCT transform of the first-level DWT LL sub-band is computed and two PN-sequences of the watermark bits are embedded in the mid frequency coefficients of the corresponding DCT blocks.
We adopt this idea here, and use a linear SF representation which is efficiently implemented to embed and extract any type of watermark sequence into images.
Then, the is transformed and mapped into a binary antipodal sequence for where is the length of watermark and .
The main idea of the proposed embedding algorithm is to split a long audio sequence into many segments for performing DWT, and then use three adjacent DWT low-frequency coefficient segments as a group to insert one synchronization sequence and one watermark (or part of watermark bits).
In our experiments, the synchronization code is a PN sequence of 31 bits, and the watermark is the length of 32 bits.
The watermark is a sequence of 720 bits that is formed by encoding the N m = 60 random message bits with the RA code of rate rate = 1/12.
Two types of watermark have been produced.
The watermark scheme is half-way through being implemented: the first CDs with the first type of watermark have appeared in shops.
Cynthia de Garceau of Watermark Properties represented Nash.
Screening dates of Watermark are available here.
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